Showing 4 open source projects for "install"

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  • 1
    git-cola

    git-cola

    git-cola: The highly caffeinated Git GUI

    ...Git Cola enables additional features when the following Python modules are installed. send2trash enables cross-platform "Send to Trash" functionality. Never run pip install or make install as root or outside of a Python virtualenv! If you don't have PyQt installed then the easiest way to get it is to use a Python virtualenv and install Git Cola into it in "editable" mode. This install method lets you upgrade Git Cola by running git pull.
    Downloads: 12 This Week
    Last Update:
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  • 2
    Dulwich

    Dulwich

    Pure-Python Git implementation

    ...Supported platforms include Linux, Mac OS X and Windows. Dulwich comes with both a lower-level API and higher-level plumbing ("porcelain"). By default, Dulwich' setup.py will attempt to build and install the optional C extensions. The reason for this is that they significantly improve the performance since some low-level operations that are executed often are much slower in CPython.
    Downloads: 1 This Week
    Last Update:
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  • 3
    nbstripout

    nbstripout

    strip output from Jupyter and IPython notebooks

    ...Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS. This does mostly the same thing as the Clear All Output command in the notebook UI. You can download and install the latest version of nbstripout from PyPI, the Python package index. Strip output from IPython / Jupyter / Zeppelin notebook (modifies the file in-place). Usually, nbstripout is installed per repository so you can choose where to use it or not. You can choose to set the attributes in .gitattributes and commit this file to your repository, however there is no way to have git set up the filters automatically when someone clones a repository. ...
    Downloads: 13 This Week
    Last Update:
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  • 4
    PyScaffold

    PyScaffold

    Python project template generator with batteries included

    ...After cd-ing into your new project and creating (or activating) an isolated development environment (with virtualenv, conda or your preferred tool), you can do the usual editable install. All configuration can be done in setup.cfg like changing the description, URL, classifiers, installation requirements and so on as defined by setuptools. That means in most cases it is not necessary to tamper with setup.py.
    Downloads: 0 This Week
    Last Update:
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